Who pays for local news in the U.S.?
While few Americans pay for local news, some people are more likely to do so than others – and most believe their local news outlets are doing well financially.
Numbers, Facts and Trends Shaping Your World
Publications
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Key findings about the online news landscape in America
The share of Americans who prefer to get their news online is growing. More Americans get news on social media than from print newspapers.
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The changing profile of the U.S. military: Smaller in size, more diverse, more women in leadership
Today’s active duty military is smaller and more racially and ethnically diverse than in previous generations. More women are officers.
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The American Veteran Experience and the Post-9/11 Generation
What it means to be a military veteran in the United States is being shaped by a new generation of service members. About one-in-five veterans today served on active duty after the terrorist attacks of Sept. 11, 2001. Their collective experiences – from deployment to combat to the transition back to civilian life – are markedly different from those who served in previous eras.
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Millennials stand out for their technology use, but older generations also embrace digital life
Millennials have often led older Americans in their adoption and use of technology. But there has also been significant growth in tech adoption in recent years among older generations.
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Republicans have confidence in presidential appointees, Democrats trust career government employees
Partisans have different levels of confidence when it comes to the type of personnel who hold government jobs – presidential appointees or career employees.
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The challenges of using machine learning to identify gender in images
This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.
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About one-in-five U.S. adults know someone who goes by a gender-neutral pronoun
A majority of Americans have heard about the use of gender-neutral pronouns, and about one-in-five personally know someone who goes by such pronouns.
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How does a computer ‘see’ gender?
In this interactive challenge, see if you can guess what makes the system change its decision.
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Methodology
Researchers from Pew Research Center used a multistep process to produce the findings of this study. These steps included: Creating eight distinct datasets from existing image corpora. Constructing a deep learning gender classification model that could be retrained repeatedly. Drawing random samples of equal-sized and gender-balanced images from each or all of the image corpora […]
